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Network Intrusion Detection Systems: A Systematic Literature Review of Hybrid Deep Learning Approaches
(2022-06)
Network Intrusion Detection Systems (NIDSs) have become standard security solutions that endeavours to discover unauthorized access to an organizational computer network by scrutinizing incoming and outgoing network traffic ...
A Comparative Study of Deep Learning and Transfer Learning in Detection of Diabetic Retinopathy
(2022)
Computer vision has gained momentum in medical imaging tasks. Deep learning and Transfer learning are some of the approaches used in computer vision. The aim of this research was to do a comparative study of deep learning ...
Factors Affecting Software Maintenance Cost of Python Programs
(2022)
One of the primary areas of software project management is cost estimation. The cost estimation problem remains unsolved today because of the ineffective cost estimation techniques which are unsuitable for handling current ...
Developing Hybrid-Based Recommender System with Naïve Bayes Optimization to Increase Prediction Efficiency
(2021-03)
Commerce and entertainment world today have shifted to the digital platforms where customer preferences are suggested by recommender systems. Recommendations have been made using a variety of methods such as content-based, ...